A Novel Mutation Analysis-Based Approach for Testing Parallel Behavioural Scenarios in Multi-Agent Systems

Author:

Dehimi Nour El Houda,Benkhalef Abdelhamid Haithem,Tolba Zakaria

Abstract

In this work, we propose a new test case generation approach that can cover behavioural scenarios individually in a multi-agent system. The purpose is to identify, in the case of the detection of an error, the scenario that caused the detected error, among the scenarios running in parallel. For this, the approach used, in the first stage, the technique of mutation analysis and parallel genetic algorithms to identify the situations in which the agents perform the interactions, presented in the sequence diagram, of the scenario under test only; these situations will be considered as inputs of the test case. In the second stage, the approach used the activities presented in the activity diagram to identify the outputs of the test case expected for its inputs. Subsequently, the generated test cases will be used for the detection of possible errors. The proposed approach is supported by a formal framework in order to automate its phases, and it is applied to a concrete case study to illustrate and demonstrate its usefulness.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference31 articles.

1. A Comprehensive Investigation of Modern Test Suite Optimization Trends, Tools and Techniques;IEEE Access,2019

2. Zardari, S., Alam, S., Al Salem, H.A., Al Reshan, M.S., Shaikh, A., Malik, A.F.K., Rehman, M.M.U., and Mouratidis, H. (2022). A Comprehensive Bibliometric Assessment on Software Testing (2016–2021). Electronics, 11.

3. Nguyen, C.D., Perini, A., Bernon, C., Pavón, J., and Thangarajah, J. (2009, January 11–12). Testing in multi-agent systems. Proceedings of the International Workshop on Agent-Oriented Software Engineering, Budapest, Hungary.

4. Zhang, Z., Thangarajah, J., and Padgham, L. (2007, January 23–25). Automated unit testing for agent systems. Proceedings of the 2nd International Working Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), Barcelona, Spain.

5. Zhang, Z., Thangarajah, J., and Padgham, L. (2008, January 12–16). Automated unit testing intelligent agents in pdt. Proceedings of the AAMAS, Estoril, Portugal.

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